Humanistic interpretation and machine learning.
This paper investigates how unsupervised machine learning methods might make hermeneutic interpretive text analysis more objective in the social sciences. Through a close examination of the uses of topic modeling—a popular unsupervised approach in the social sciences—it argues that the primary way i...
| Publicado en: | Synthese Vol. 199; no. 1/2; pp. 1461 - 1498 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Dec2021
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |